CPU vs GPU and Nvidia CUDA-educational video

This is a video i made about parallel processing and how you can use it to get more done, in a faster, higher quality format with Nvidia CUDA.
Sorry for any spelling mistakes. I tried to spell at the best of my ability. There are some typo's and the video project was lost so i cannot correct them and upload a corrected video
which is a shame, none the less, it's understandable. Examples are i put "trancode" "could would" "archEtechture" and some small others. Sorry.

I am not affiliated with nvidia or intergrated elctronics in any way.
All the following but not limited to are owned by the above mentioned compaines: logo's, technolagies, features, animations, trademarks, copyrights, resources and soundtracks to the animations.

I DO NOT own Intergrated electronics or Nvidia.

Category:

Education

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• Nvidia
• CUDA
• transcoding
• Intel
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• cpu
• vs
• gpu
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[13orrax]

Text fails... time how long it takes you to read the text and double it. This is how long the txt should be onscreen.

[Nvidiaguides]

@13orrax I only had an hour to make the video.

[Nvidiaguides]

It's generic music off Nero Multimedia suite 10.

[DinexTaiwan]

The video runs so fast....Slower is better

[Nvidiaguides]

@DinexTaiwan I know, I only had 45 mins to do it which is why there is a ton of spelling and gramatical errors. When my PC is fixed, I shall re-upload a fixed version.

[milosivanovic1]

This is a fantastic video, thanks a lot for posting!

[Nvidiaguides]

@milosivanovic1

Thanks for the compliment :)

[youssef0eddoumali]

@Nvidiaguides please the name of the song at the start

[camvibrance]

@NerdInHisShoe I don't understand. Why not just use they type of technology that is the best? Then it up to perform the tasks the chip is made for. So you would have a cpu and gpu with essentially the same technology, but different setup to perform their specified tasks.

[NerdInHisShoe]

@NerdInHisShoe For example, if you wanted to make every pixel in an image brighter, the GPU could operate on hundreds of pixels simultaneously, while the CPU would operate on 1 pixel at a time. Even though the GPU contains simpler, slower processors, there are hundreds of them working on parallel, allowing the GPU to complete the task quicker than the CPU.

[NerdInHisShoe]

@camvibrance GPUs contain hundreds of simple processors which operate on data in parallel, because that's the most efficient way to process graphics data. The tasks assigned to CPUs are overwhelming serial, and cannot be performed in parallel, so the focus is to have a single processor that is very fast. CPUs also have to do a lot more decision making, and have built-in logic for that.

[pwhs8]

You misspelled "architecture" at 3:05

[BeefCaike]

My brain needs an additional 7 teraflops just to read this shit in time.

[camvibrance]

Can somebody help? I don't understand. I can't seem to find information on the actual difference between a cpu and a gpu. I know a gpu is dedicated for graphics, but they seem to be the exact same thing. Like the hardware itself. It seems to be a CPU that limits itself to only processing graphics? And is less powerful than a CPU? Or is it more powerful than a CPU? If so, then shouldn't there be GPUs setup to operate as CPUs?

[bombach007]

nice vid man me and my dad learned and enjoyed it great job !!!!!!!!!